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from extension import extension_t
# Copyright CNRS/Inria/UNS
# Contributor(s): Eric Debreuve (since 2019)
#
# eric.debreuve@cnrs.fr
#
# This software is governed by the CeCILL license under French law and
# abiding by the rules of distribution of free software. You can use,
# modify and/ or redistribute the software under the terms of the CeCILL
# license as circulated by CEA, CNRS and INRIA at the following URL
# "http://www.cecill.info".
#
# As a counterpart to the access to the source code and rights to copy,
# modify and redistribute granted by the license, users are provided only
# with a limited warranty and the software's author, the holder of the
# economic rights, and the successive licensors have only limited
# liability.
#
# In this respect, the user's attention is drawn to the risks associated
# with loading, using, modifying and/or developing or reproducing the
# software by the user in light of its specific status of free software,
# that may mean that it is complicated to manipulate, and that also
# therefore means that it is reserved for developers and experienced
# professionals having in-depth computer knowledge. Users are therefore
# encouraged to load and test the software's suitability as regards their
# requirements in conditions enabling the security of their systems and/or
# data to be ensured and, more generally, to use and operate it in the
# same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.
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import plot as ot_
from soma import soma_t
from typing import Sequence, Tuple
import matplotlib.pyplot as pl_
def PrintConnectedExtensions(extensions: Sequence[extension_t]) -> None:
#
ext_uids = tuple(
extension.uid for extension in extensions if extension.soma_uid is not None
)
print(
f" Connected Ext = {ext_uids.__len__()}"
f"/{extensions.__len__()}\n"
f" {ext_uids}"
)
def PlotSomas(somas: Sequence[soma_t], som_nfo: dict, axes: dict) -> None:
#
for soma in somas:
axes[soma.uid] = ot_.PlotLMap(som_nfo["lmp"], labels=soma.uid)
pl_.title(f"Soma.{soma.uid}")
pl_.matshow(som_nfo["influence_map"].max(axis=0)), pl_.title("Soma Influencess")
pl_.matshow(som_nfo["dist_to_closest"].max(axis=0)), pl_.title("Soma Distances")
def PlotExtensions(
extensions: Sequence[extension_t], ext_nfo: dict, img_shape: Tuple[int, ...]
) -> None:
#
for extension in extensions:
_ = ot_.PlotExtensions(extension, img_shape)
pl_.title(f"Extension.{extension.uid}")
pl_.matshow(ext_nfo["map"].max(axis=0))
pl_.title("Extensions Extremities")
def PlotSomasWithExtensions(somas: Sequence[soma_t], som_nfo: dict, which: str) -> None:
#
any_plot = False
for soma in filter(lambda elm: elm.has_extensions, somas):
if which == "with_ext_of_ext":
for extension in soma.extensions:
if not extension.has_extensions:
continue
_ = ot_.PlotSomaWithExtensions(soma, som_nfo["lmp"])
pl_.title(f"Soma.{soma.uid} + Ext.{tuple(ext.uid for ext in soma.extensions)}")
any_plot = True
if any_plot:
pl_.matshow(som_nfo["soma_w_ext_lmp"].max(axis=0))
pl_.title("Somas + Extensions")